scholarly journals Impact Assessment of Big Data on Higher Education Management Based on Time-Varying Clustering Sampling Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Chen Liu ◽  
Boxuan Song

With the continuous development of social economy, education has received more and more attention. As an important part of higher education, it has been profoundly influenced by the era of data in recent years. In order to evaluate the impact of big data on higher education management, this paper introduced a time-varying lens algorithm (TLA) to analyze the business needs of teachers and education management by sorting out the business processes of education management, education thinking, and education practice. Through learning and mining the corresponding technology, improve the corresponding educational ability, and use big data to assist the management of higher education. The simulation results show that the time-varying clustering sampling algorithm is effective.

Author(s):  
Hilmi Aulawi

Research productivity constitutes a key factor in maintaining the sustainability of higher education management. This study aims to identify the impact of knowledge sharing on research productivity in higher education. This research is a mixed-methods study with a sequential explanatory case study design. Quantitative analysis of questionnaires was initially performed by using linear regression. The participants included 35 lecturers working for a private university in Indonesia. The following stage involved further verifying the questionnaire results by means of quantitative analysis of interview data, documents, and focus group discussion (FGD). Results substantiated that knowledge sharing positively and significantly influenced the university's research productivity. In addition, it was revealed that existing expert groups, knowledge-sharing agenda, collaborative research, facility support, funds, partnership with external institutions and human resources development program contributed to the enhancement of lecturers' ability to generate ideas and engage in research endeavors.


Author(s):  
Bruno Barbosa Sousa ◽  
Filipa Costa Magalhães

In the recent years, the educational market has become more dynamic and complex. There are many market forces that are trying to shape the educational environment. The competition between universities is increasing. Public marketing is a fundamental tool in the promotion of places, one that must be present in the strategies of local government representatives, helping and promoting a sustainable economic and social development of the regions and universities. The prupose of this chapter is to analyze, measure, and perceive the impact of brand attachment on consumer behavior in the specific context of higher education in Portugal, based on the affective and emotional relationship between students and the higher education institutions. The results allowed us to conclude that the brand attachment has a preponderant role and impact in the relationship between the student and the institution of higher education. This chapter aims to further develop the understanding of the educational marketing for higher education institutions. Implications for future research are also presented.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Iryna Anatolyevna Markina ◽  
Alla Dmitrievna Chykurkova ◽  
Oksana Antonivna Dudziak ◽  
Tetiana Leonidivna Opaliuk ◽  
Inna Anatolievna Dobrenko

Purpose The purpose of this paper is to identify the features of higher education management in the context of global economic transformations. Design/methodology/approach A correlation-regression analysis of the functionality of the modern education system was carried out in the “personality-society-economy” triad by analyzing the impact of global indices such as Economic Quality Index, Personal Freedom Index and Social Capital Index on the resultant indicator, or the Education Index. Findings It was determined that the impact of economic factors on the level of education is rather low, and at the same time, this indicator largely depends on the indicator of the social capital. In this regard, the following social trends have been identified that need to be implemented for the successful education management: expanding the population education program, as well as providing lifelong education, ensuring equal access to quality education, strengthening the role of the state in ensuring equity in education, efficient and effective use of education costs, humanization and democratization of education, updating the content, forms, methods and means of training, enhancing the professional competence of teachers, transparency of education systems, the formation of state-public forms of education management. Originality/value In the framework of the proposed research, it was established the hypothesis that the modern education system is dependent on the relation between individual, society and the national economy.


Author(s):  
Fei Bian ◽  
Xuansheng Wang

Nowadays, China has got into the era of big-data. In the background of big-data information era, the management of college students in China has undergone certain changes, and the trend of student management informationization is obvious. Universities are momentous places for cultivating talents. The student management work of universities directly affects the quality of talent training and affects the stability of colleges and universities (CAU). The internal structure and external environment faced by higher education are undergoing unprecedented profound changes, bringing many new situations, new problems and new challenges to the supervision of university students. Therefore, college education managers need to show solicitude for the impact of big-data technology on college education management (CEM) and propose corresponding countermeasures to raise the productivity of college education administration. This paper concentrates on the characteristics of big-data. On the basis of investigating the present situation and matters of the development of big-data education administration in CAU in China, this paper explores the countermeasures to raise the innovation of big-data education management (BDEM) in universities in China.


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